More AI. Less cost.
Cost-efficient inference for popular AI models across modalities. Run in your own cloud, choose a private deployment, or access models through our API.
The advantage · Efficient inference
Powerful models. Leaner infrastructure. AI that makes economic sense.
Lower cost
Right-sized models. Less overhead.
Your choice
Your cloud, private deployment or API
Flexible
Multiple models and modalities
Scalable
Grow usage without runaway API spend
Benefits · Built for business
More value from every inference.
Benefit 01 / 04
Efficiency
Get more from your inference budget with model selection and serving infrastructure tuned to your workload, throughput and latency needs.
Lower total cost of ownership
Benefit 02 / 04
Privacy
Run inference in your own cloud or choose a private deployment when your data, access and infrastructure need to stay under your control.
Your data stays under your control
Benefit 03 / 04
Choice
Access popular models across modalities and capabilities. Choose the model and deployment path that fit each workload, rather than forcing every task onto one stack.
Multiple models. Your deployment.
Benefit 04 / 04
Reliability
Build on inference infrastructure designed for production. Evaluate quality, latency and throughput against the demands of your application.
Performance measured on your tasks
Multiple modalities. One inference partner.
PROMPT / COMPLETION
Language & code
Reason, summarize, generate and write code with models selected for your application.
SPEECH / SOUND / SIGNAL
Voice & audio
Build speech-to-text, text-to-speech and audio workflows with the right models.
SCENE / OCEAN
Vision & understanding
Interpret images, read documents and bring visual context into your AI workflows.
Image generation
Power visual creation and editing with image models suited to your product.
Model and modality availability depend on the selected deployment. We help you find the right fit for quality, latency, throughput and cost.
Getting started
From model choice to production inference.
01
Choose
Define the models, modalities and capabilities your application needs, alongside your quality and performance requirements.
02
Deploy
Choose API access, inference in your own cloud, or a private deployment that fits your operational needs.
03
Integrate
Connect your application to the inference endpoint and validate model behavior with representative workloads.
04
Optimize
Tune serving performance and capacity as demand grows, with cost, throughput and latency in view.
Deployment options
Your cloud. Private. Or API.
Three ways to access efficient inference. Pricing depends on model choice, usage, capacity and deployment requirements.
Your cloud
Run inference in the cloud environment you already use.
Custom
/ deployment
Infrastructure in your account
Models selected for your workloads
Serving and capacity optimization
Your operational boundaries
Private deployment
A dedicated inference environment built around your requirements.
Custom
/ deployment
Dedicated inference environment
Deployment tailored to your needs
Model and capacity planning
Security requirements scoped with you
Inference API
Access popular models without managing the serving stack.
API
Access through API endpoints
Models across multiple modalities
Infrastructure managed for you
Model availability confirmed with you
FAQ
Good questions.
How much can we save?
Which models and modalities do you offer?
How can we use the platform?
Can inference run in our own cloud?
Do we need to manage infrastructure?
How is inference priced?
Trillion Parameters · Efficient inference
Make AI cost less.
Tell us which models you need, your expected volume and where you want to run them. We’ll help you find an efficient inference setup.